Cho Jeong-Seok, Choi Ji-Young, Moon Kwang-Deog
United States Department of Agriculture, Agricultural Research Service, 950 College Station Rd, Athens, GA 30605 USA.
Department of Food Science and Technology, Kyungpook National University, 80 Daehak-ro, Daegu, 41566 South Korea.
Food Sci Biotechnol. 2020 Sep 8;29(10):1407-1412. doi: 10.1007/s10068-020-00791-x. eCollection 2020 Oct.
The moisture content of persimmons during drying was monitored by hyperspectral imaging technology. All persimmons were dried using a hot-air dryer at 40 °C and divided into seven groups according to drying time: semi-dried persimmons (Cont), 1 day (DP-1), 2 days (DP-2), 3 days (DP-3), 4 days (DP-4), 5 days (DP-5), and 6 days (DP-6). Shortwave infrared hyperspectral spectra and moisture content of all persimmons were analyzed to develop a prediction model using partial least squares regression. There were obvious absorption bands: two at approximately 971 nm and 1452 nm were due to water absorption related to O-H stretching of the second and first overtones, respectively. The R-squared value of the optimal calibration model was 0.9673, and the accuracy of the moisture content measurement was 95%. These results indicate that hyperspectral imaging technology can be used to predict and monitor the moisture content of dried persimmons during drying.
采用高光谱成像技术监测柿子干燥过程中的水分含量。所有柿子均在40℃的热风干燥箱中干燥，并根据干燥时间分为七组：半干柿子（对照）、1天（DP-1）、2天（DP-2）、3天（DP-3）、4天（DP-4）、5天（DP-5）和6天（DP-6）。分析所有柿子的短波红外高光谱和水分含量，采用偏最小二乘回归建立预测模型。存在明显的吸收带：约971nm和1452nm处的两个吸收带分别归因于与第二和第一泛音的O-H伸缩相关的水吸收。最佳校准模型的决定系数R²值为0.9673，水分含量测量的准确率为95%。这些结果表明，高光谱成像技术可用于预测和监测干燥过程中柿子干的水分含量。
